2016 IEEE International Conference on Mechatronics and Automation 2016
DOI: 10.1109/icma.2016.7558849
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of defect detection performance between torsional wave and longitudinal wave in pile

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…In condition of numerical simulation, the damage pile stress wave accords with practical application. 300 groups of pile torsion wave signal data including 5 damage types are obtained by finite difference numerical simulation method [16], where fifteen percent of the data are forecast samples. The proposed method is applied to feature extraction, and the BP Neural Networks predicts classification [17].…”
Section: Choice Of Wavelet Decomposition Levelmentioning
confidence: 99%
“…In condition of numerical simulation, the damage pile stress wave accords with practical application. 300 groups of pile torsion wave signal data including 5 damage types are obtained by finite difference numerical simulation method [16], where fifteen percent of the data are forecast samples. The proposed method is applied to feature extraction, and the BP Neural Networks predicts classification [17].…”
Section: Choice Of Wavelet Decomposition Levelmentioning
confidence: 99%